2021-至今 南京理工大学 教授
2020-2021 美国京东硅谷研究院 算法科学家
2017-2020 德州大学阿灵顿分校、匹兹堡大学 博士后
2022年，入选国家高层次人才计划；
2021年，江苏省科学技术一等奖（排名第三）
2018年，获得江苏省优秀博士学位论文奖、中国人工智能学会优秀博士学位论文奖
2017年，获得南京理工大学优秀博士学位论文奖
2012年，作为指导老师获得全国大学生数学建模竞赛天津赛区一等奖。
担任过多个国际权威期刊和会议的审稿人，包括 IEEE TPAMI、IEEE TIP、IEEE TCSVT、IEEE TNNLS、IEEE TKDE、PR、CVPR、ICML、NeurIPS、KDD、IJCAI以及AAAI等。
目前正在主持国家级人才项目、国家自然科学基金面上项目
在计算机领域主流期刊和会议上发表/录用学术论文40余篇，其中包括国际权威期刊IEEE汇刊(IEEE T-PAMI / T-IP / T-NNLS等)和中国计算机学会(CCF) A类会议（CVPR / ICCV / NeurIPS / ICML / AAAI等）论文30余篇，部分论文如下（其中，#代表一作，*代表通讯）：
[1] Yang Jian#; Luo Lei#; Qian Jianjun#; Tai Ying; Zhang Fanlong; Xu Yong; Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions ON Pattern Analysis and Machine Intelligence, 2017, 39(1): 156-171. (期刊论文)
[2] Lei Luo; Yanfu Zhang; Heng Huang*; Adversarial Nonnegative Matrix Factorization, 37th International Conference on Machine Learning, Virtual Conference, 2020-7-12至2020-7-18. (会议论文)
[3] Lei Luo; Heng Huang*; Matrix variate gaussian mixture distribution steered robust metric learning, AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California USA, 2017-2-4至2017-2-9.(会议论文)
[4] Lei Luo; Liang Chen; Jian Yang; Jianjun Qian; Bob Zhang; Tree-Structured Nuclear Norm Approximation With Applications to Robust Face Recognition, IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 12(25): 5757-5767.
(期刊论文)
[5] Lei Luo; Jian Yang*; Bob Zhang; Jielin Jiang; Heng Huang*; Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 20 18, 11(29): 5330-5344. (期刊论文)
[6] Lei Luo; Jie Xu; Deng Cheng; Heng Huang*; Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees, Proceedings of the AAAI Conference on Artificial Intelligence, Hilton Hawaiian Village, Honolulu, Hawaii, USA, 2019-1-27至2019-2-1. (会议论文)
[7] Lei Luo; Jie Xu; Deng Cheng; Heng Huang*; Orthogonality-Promoting Dictionary Learning via Bayesian Inference, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), he Hilton Hawaiian Village, Honolulu, Hawaii, USA, 2019-1-27至2019-2-1. (会议论文)
[8] Lei Luo; Jian Yang; Jianjun Qian; Ying Tai; Gui-Fu Lu; Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 9(28): 2168-2182. (期刊论文)
[9] Lei Luo; Jian Yang*; Yigong Zhang; Yong Xu; Heng Huang; Nesting- structured Nuclear Norm Minimization for Spatially Correlated Matrix Variate, Pattern Recognition, 2019, 91: 147-161. (期刊论文)
[10] Lei Luo; Jian Yang*; Jianjun Qian; Ying Tai; Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise, Pattern Recognition, 2015, 48(12): 3811-3824. (期刊论文)
[11] Lei Luo; Jian Pei; Heng Huang*; Sinkhorn Regression, IJCAI2020, Yokoha ma, Japan, 2021-1-7至2021-1-15. (会议论文)
[12] Lei Luo; Qinghua Tu; Jian Yang; Jingyu Yang; An adaptive line search scheme for approximated nuclear norm based matrix regression, Neurocomputing, 2018, 289: 23-31. (期刊论文)
[13] Jie Xu(博士生)#; Lei Luo#; Cheng Deng*; Heng Huang*; Bilevel Distance Metric Learning for Robust Image Recognition, Thirty-second Conference on Neural Information Processing Systems, Palais des Congrès de Montréal, Montréal CANADA, 2018-11-2至2018-11-8. (会议论文)
[14] Shuo chen; Lei Luo*; Jian Yang*; Chen Gong; Jun Li; Heng Huang; Curvil inear Distance Metric Learning, Advances in Neural Information Processing Systems 32 (2019), Vancouver Convention Center, Vancouver CANADA, 2019-12-8至 2019-12-14. (会议论文)
[15] Jiexi Yan#; Lei Luo#; Cheng Deng*; Heng Huang; Unsupervised Hyperbolic Metric Learning, CVPR2021. (会议论文)
在国外做博后期间合作指导过四名博士生（三位已经获取教职）；目前在南京理工大学合作指导博士生四名和研究生两名（其中一人已经毕业），独立指导博士生两名和研究生七名，本科科研训练三名。
每年会招收研究生、博士生、博士后以及科研助理，因为名额有限，欢迎大家提前与我联系😊